hopper - Sr Manager - Revenue Operations — Travel Supply & AI (100% Remote - Canada)
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Requirements
• 3–5 years of experience in revenue operations, sales operations, strategy & operations, or a similar analytical or commercial role. • A track record of building things — data models, dashboards, process frameworks, operational tools — not just recommending them. • Strong commercial instincts paired with rigorous analytical capability — comfortable moving between a strategic conversation and a hands-on build with equal ease. • Genuine excitement about AI and a habit of already using it — someone who has explored how AI tools can accelerate and improve their own work, and is eager to bring that into the fabric of how a commercial organisation operates. • Proficiency in SQL and experience with data and BI tools (e.g. Looker, Tableau, BigQuery, or similar). • Experience working cross-functionally with Product and/or Engineering teams, or a strong desire to build this muscle — with enough technical fluency to hold their own in those conversations. • A bias toward first-principles thinking — questioning assumptions, stress-testing processes, and always asking why something works the way it does. • A bias for action, a strong sense of ownership, and the ability to thrive in fast-moving, ambiguous environments.
Responsibilities
• Revenue Analytics & Business Intelligence - • Own the design, build, and ongoing evolution of the data models, dashboards, and reporting frameworks that give the commercial organisation clear visibility into performance across the full revenue funnel — and maintain them to a standard that makes the data genuinely trusted and acted upon. • Use AI tools as a core part of your analytical workflow — accelerating the speed of insight generation, improving output quality, and freeing up time for higher-order problem solving. • Conduct deep-dive analytical projects to identify patterns, anomalies, and opportunities in revenue data — translating complex findings into clear, actionable insights for commercial stakeholders. • Define, build, and track KPIs that measure not just business outcomes, but the effectiveness of the processes that drive them — creating a feedback loop that continuously improves how the organisation operates. • Process Design & Operational Excellence • Map, challenge, and rebuild core revenue workflows — including pipeline management, forecasting cadences, and sales incentive structures — producing cleaner, faster, and more scalable ways of working. • Implement operational improvements end-to-end: not just designing the solution, but seeing it through to adoption across commercial teams and measuring its impact with rigour. • Identify where AI can be applied to fundamentally change how revenue processes work — building and deploying those solutions directly rather than outlining them for others to execute. • Systems Thinking & Tooling • Develop a hands-on understanding of how our revenue tech stack — data pipeline and customer-facing product — fits together, diagnosing where friction, data loss, or missed opportunities exist. • Work directly with Product and Engineering teams to shape and prioritise improvements to internal tooling and systems, grounding those conversations in operational data and a clear point of view on what will move the needle. • Translate commercial problems into well-defined briefs that technical teams can act on — bringing enough technical fluency to be a genuine peer in those conversations. • Commercial Strategy & Go-to-Market Contribution • Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and that decisions translate into clear next steps with accountable owners. • Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting — producing outputs that commercial leaders can use directly. • Contribute to go-to-market strategy and sales process design, bringing a data-informed perspective on where the highest-leverage opportunities lie. • Spend time in the field with commercial teams to understand where the real friction is — then go and fix it.
Benefits
• Sr Manager - Revenue Operations (L4/L5)The yearly total compensation for this position ranges from 180 000$ to 250 000$ CAD. Base salary will be determined by candidates' relevant qualifications, knowledge, skills and work experience. Total compensation will include a solid base salary and will also include equity (options), potentially a sign-on bonus and other potential incentives as per the "perks and benefits" section. CA$180K – CA$250K • Offers Equity • Compensation will be determined by candidates' relevant qualifications, knowledge, skills and work experience. Total compensation will include a solid base salary and will also include equity (options / RSUs), sign-on bonus and other potential incentives. • Please Note: we have set up limits for applications for this role. It is in the Application limit group. The following limits apply to applications for all jobs within this group: • Application limit • Candidates may not apply more than 2 times in any 90 day span for any job in the Application limit Group. • Application limit • Candidates may not re-apply to the same role within 90 days if not presented with an offer • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • I am comfortable viewing dashboards and can perform basic data manipulation in Excel/Google Sheets. • I can write basic SQL queries (SELECT, FROM, WHERE) but typically rely on Data Engineering or Analytics teams for complex modeling and dashboard architecture. • I am proficient in SQL and have personally designed, built, and maintained complex data models and automated dashboards in tools like Looker, Tableau, or BigQuery. • I have managed teams of analysts who use SQL, but I do not perform hands-on data modeling in my current workflow. • I am planning to be located in either Americas (PST - EST) or GMT timezone • I'm planning to being located outsite of such time zone. • I am interested in AI but have not yet found a consistent way to use it in my professional day-to-day. • I use AI primarily for basic administrative tasks, such as drafting emails or summarizing meeting notes. • I use AI as a core part of my analytical and operational workflow—such as using it to accelerate SQL writing, build automated process pilots, or generate deep-dive business insights. • I believe AI is overhyped for Revenue Operations and prefer to stick to traditional, manual auditing and process mapping. • I have 1–2 years of experience in a junior sales or support role. • I have 3–5+ years of experience in a purely commercial/sales role (Account Management or Sales) without a focus on data systems or process design. • I have 3–5+ years of experience in RevOps, BizOps, or Strategy & Ops, with a proven track record of collaborating with Product/Engineering teams to improve internal tools. • I have 10+ years of experience in senior executive leadership but have not been "in the weeds" building tools or workflows for several years.
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